A Methodology for Generating Artificial Event Logs to Compare Process Discovery Techniques. - Toon Jouck; Marijke Swennen; Benoît Depaire (SIMPDA, 2014)

Calculating the Number of Unique Paths in a Block-Structured Process Model. - Gert Janssenswillen; Benoît Depaire; Toon Jouck (ATAED@Petri Nets/ACSD, 2016)

Measuring the Quality of Models with Respect to the Underlying System: An Empirical Study. - Gert Janssenswillen; Toon Jouck; Mathijs Creemers; Benoît Depaire (BPM, 2016)

PTandLogGenerator: A Generator for Artificial Event Data. - Toon Jouck; Benoît Depaire (BPM (Demos), 2016)

A comparative study of existing quality measures for process discovery. - Gert Janssenswillen; Niels Donders; Toon Jouck; Benoît Depaire (Inf. Syst., 2017)

A Framework to Evaluate and Compare Decision-Mining Techniques. - Toon Jouck; Massimiliano de Leoni; Benoît Depaire (Business Process Management Workshops, 2018)

An Improved Way for Measuring Simplicity During Process Discovery. - Jonas Lieben; Toon Jouck; Benoît Depaire; Mieke Jans (EOMAS@CAiSE, 2018)

An Integrated Framework for Process Discovery Algorithm Evaluation. - Toon Jouck; Alfredo Bolt; Benoît Depaire; Massimiliano de Leoni; Wil M. P. van der Aalst (CoRR, 2018)

Generating Artificial Data for Empirical Analysis of Control-flow Discovery Algorithms - A Process Tree and Log Generator. - Toon Jouck; Benoît Depaire (Bus. Inf. Syst. Eng., 2019)

Building a valuable event log for process mining: an experimental exploration of a guided process. - Mieke Jans; Pnina Soffer; Toon Jouck (Enterp. Inf. Syst., 2019)